- Design and develop scalable data pipelines using Data Flow on GCP.
- Collaborate with cross-functional teams to gather requirements and design ETL processes for big data warehousing solutions.
- Develop high-performance Java applications for large dataset processing in BigQuery.
- Ensure the scalability, reliability, security, and performance of the entire data infrastructure.
- Work on complex analytics tasks and data processing using BigQuery.
- Participate in designing and implementing data warehousing solutions using GCP.
Job Requirements :
- 8-14 years of experience as a Data Engineer with expertise in Data Warehousing, ETL, GCP, and BigQuery.
- Robust proficiency in developing Java applications for big data processing.
- Experience with Data Flow for building end-to-end data pipelines on GCP.
- Knowledge of data warehousing concepts and principles.
- Familiarity with cloud-based technologies such as GCP.
- Understanding of big data processing and analytics techniques.
📌 Data Engineer (Pune)
🏢 Test Yantra
📍 Pune
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